The following paper about the climate change impacts on coastal ecosystems has been recently accepted for publication by Environmental Research: Climate.
Guild, R., X. Wang, and R. Quijon. Climate change impacts on coastal ecosystems. Environmental Research: Climate, accepted on December 16, 2024.
More details will come soon once the paper is published.
The following paper about the impacts of Hurricane Fiona on piping plover habitat in PEI has been recently accepted for publication by Remote Sensing.
Guild, R., and X. Wang. Piping Plover Habitat Changes and Nesting Responses Following Post-Tropical Cyclone Fiona on Prince Edward Island, Canada. Remote Sensing, accepted on December 16, 2024.
More details will come soon once the paper is published.
Title: Coastal urban flood risk management: Challenges and opportunities − A systematic review
Journal: Journal of Hydrology
DOI: https://doi.org/10.1016/j.jhydrol.2024.132271
Abstract: Generational mechanisms and spatio-temporal evolution patterns of coastal urban flood risk involve complex interactions between climate change, sea level rise and human-induced factors, necessitating integrated adaptive flood management strategies to mitigate evolving vulnerabilities. This systematic review offers a thorough assessment of the challenges and strategic opportunities for sustainable adaptation in managing flood risk in coastal urban areas. It integrates emerging innovative technologies and financial solutions to identify promising approaches to implement mitigation strategies and improve coastal urban flood resilience. Enhancing governance and policy frameworks is crucial for the successful implementation of coastal urban flood risk management (CUFRM) plans. An innovative participatory planning framework is developed to promote flood management practices which are socially inclusive and equitable. Funding for green infrastructure and nature-based solutions and the strategic use of public-private partnerships are effective methods for advancing sustainable flood risk management (FRM). The advancements in emerging technologies, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), social media and digital twin technologies, provide dynamic and collaborative platforms for simulating flood scenarios and have potential to significantly improve CUFRM practices. In the end, a cross-country comparison of current practices in Australia, China, the Netherlands, the UK and the USA reveals a diverse range of approaches and valuable insights derived from regional experiences. The review provides a comprehensive analysis for researchers, policymakers and practitioners aiming to improve flood resilience in coastal metropolitan regions by learning from effective UFRM approaches that enhance governance structures, infrastructure resilience and funding mechanisms.
The following paper about the crop soil moisture estimation has been recently accepted for publication by Agricultural Water Management.
Imtiaz, F., A. A. Farooque, G. S. Randhawa, X. Wang, T. Esau, B. Acharya, and S. E. Hashemi. An Inclusive Approach to Crop Soil Moisture Estimation: Leveraging Satellite Thermal Infrared Bands and Vegetation Indices on Google Earth Engine. Agricultural Water Management, accepted on November 11, 2024.
More details will come soon once the paper is published.
Title: Evaluating wind and solar complementarity in China: considering climate change and source-load matching dynamics
Journal: Energy
DOI: https://doi.org/10.1016/j.energy.2024.133485
Abstract: Changes in wind and solar energy due to climate change may reduce their complementarity, thus affecting the stable power supply of the power system. This paper investigates the wind and solar complementarity in China under climate change from the perspective of source-load matching. First, the ability of the PRECIS model to simulate the wind and solar complementarity characteristics at different time scales (hourly, daily, and monthly scales) over China is verified. At the hourly scale, the complementarity shows an increasing trend from east to west, with Qinghai, Yunnan and Xinjiang exhibiting the most pronounced complementarity. The southeastern region exhibits smaller net load peak-to-valley differences and volatility, signifying a diminished requirement for system flexibility in this area, while northern and northwestern China exhibit a higher demand for system flexibility. Then, the changes of wind and solar energy complementarity and net load fluctuation are predicted in the 2030s and 2060s under the SSP2-4.5 and SSP5-8.5 scenarios. Overall, climate change is anticipated to have a negative impact on the future complementarity of wind and solar energy. In the 2060s, on an hourly scale, the complementary characteristic () shows a downward trend in most regions, particularly notable in eastern and central China, where it decreased by about 0.05 and 0.04. Furthermore, there is an escalation in the peak-valley difference and fluctuation of net load in most areas of China, particularly under the SSP5-8.5 scenario. The peak-valley difference of net load in the central and southwest regions projects a marked increase of 22.4% and 18.7% in the 2060s, suggesting that climate change is anticipated to augment the demand for power system flexibility, necessitating increased investments in flexible and adjustable resources such as energy storage.